{"total":24,"rows":[{"id":"2406.00515","title":"A Survey on Large Language Models for Code Generation","created":"2024-06-01","cited_by_count":658,"area":null},{"id":"2307.01717","title":"On the Constrained Time-Series Generation Problem","created":"2023-07-04","cited_by_count":54,"area":null},{"id":"2310.16524","title":"Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data","created":"2023-10-25","cited_by_count":32,"area":null},{"id":"2401.13716","title":"Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare","created":"2024-01-24","cited_by_count":17,"area":null},{"id":"2409.16118","title":"TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models","created":"2024-09-24","cited_by_count":16,"area":null},{"id":"2410.14208","title":"Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning","created":"2024-10-18","cited_by_count":13,"area":null},{"id":"2305.10015","title":"Utility Theory of Synthetic Data Generation","created":"2023-05-17","cited_by_count":8,"area":null},{"id":"2403.18351","title":"Generating Diverse Agricultural Data for Vision-Based Farming Applications","created":"2024-03-27","cited_by_count":7,"area":null},{"id":"2509.10696","title":"Struct-Bench: A Benchmark for Differentially Private Structured Text Generation","created":"2025-09-12","cited_by_count":7,"area":null},{"id":"2312.07837","title":"The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2406.01805","title":"TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting","created":"2024-06-03","cited_by_count":5,"area":null},{"id":"2412.05153","title":"A text-to-tabular approach to generate synthetic patient data using LLMs","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2411.04216","title":"Debiasing Synthetic Data Generated by Deep Generative Models","created":"2024-11-06","cited_by_count":3,"area":null},{"id":"2505.24190","title":"Provably Improving Generalization of Few-Shot Models with Synthetic Data","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2603.05396","title":"Harnessing Synthetic Data from Generative AI for Statistical Inference","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2402.03985","title":"A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets","created":"2024-02-06","cited_by_count":2,"area":null},{"id":"2607.03926","title":"TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data","created":"2026-07-04","cited_by_count":2,"area":null},{"id":"2309.16143","title":"Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2310.09729","title":"Private Synthetic Data Meets Ensemble Learning","created":"2023-10-15","cited_by_count":1,"area":null},{"id":"2503.24258","title":"Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2404.05128","title":"Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2506.17847","title":"A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity","created":"2025-06-21","cited_by_count":0,"area":null},{"id":"2511.00079","title":"flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2608.18643","title":"ProxyGuard: Direct Reliability Inference for Randomized Data Release Mechanisms with Shared Targets","created":"2026-08-19","cited_by_count":0,"area":null}],"next_cursor":null}